acceptodds: Which papers will get accepted at ICLR 2027?

Abstract

A prediction market on peer review. Each paper has a market on its decision (accept or reject), priced by researchers who stake $rep, an in app currency, on what they expect. Everyone who signs up receives 1,000 $rep to trade with. Prices are probabilities, and every market settles when the venue publishes its decisions. It is a game made for fun, and has no connection to ICLR, OpenReview or any other organisation. acceptodds is an open source project, open to contributions, at github.com/benedict-armstrong/acceptodds.¹

Join traders from

Massachusetts Institute of Technology
University of Moratuwa
New York University
北京大学
Emory University
ELLIS Institute Tübingen
Industrial University of Santander
University of California, Santa Barbara
United International University
National Taiwan University
Delhi Technological University
Harvard University
Ludwig-Maximilians-Universität München
Virginia Tech
Indian Institute of Technology Delhi
École Polytechnique Fédérale de Lausanne
West Virginia University
Mohamed bin Zayed University of Artificial Intelligence
Amazon
Los Alamos National Laboratory
Polytechnique Montréal
University of Delaware
University of Tübingen
Pohang University of Science and Technology
University of California, Los Angeles
Indian Institute of Technology Dhanbad
Georgia Institute of Technology
Indian Institute of Technology Kharagpur
Mila
Birla Institute of Technology and Science, Pilani – Pilani Campus
Technical University of Munich
University of Pennsylvania
The Chinese University of Hong Kong
University of California, Irvine
Uppsala University
Shanghai Jiao Tong University
INHA University
University of Maryland, College Park
University of Illinois Urbana-Champaign
University of Surrey
Roche
University of Southern California
Aalto University
ETH Zurich

Massachusetts Institute of Technology
University of Moratuwa
New York University
北京大学
Emory University
ELLIS Institute Tübingen
Industrial University of Santander
University of California, Santa Barbara
United International University
National Taiwan University
Delhi Technological University
Harvard University
Ludwig-Maximilians-Universität München
Virginia Tech
Indian Institute of Technology Delhi
École Polytechnique Fédérale de Lausanne
West Virginia University
Mohamed bin Zayed University of Artificial Intelligence
Amazon
Los Alamos National Laboratory
Polytechnique Montréal
University of Delaware
University of Tübingen
Pohang University of Science and Technology
University of California, Los Angeles
Indian Institute of Technology Dhanbad
Georgia Institute of Technology
Indian Institute of Technology Kharagpur
Mila
Birla Institute of Technology and Science, Pilani – Pilani Campus
Technical University of Munich
University of Pennsylvania
The Chinese University of Hong Kong
University of California, Irvine
Uppsala University
Shanghai Jiao Tong University
INHA University
University of Maryland, College Park
University of Illinois Urbana-Champaign
University of Surrey
Roche
University of Southern California
Aalto University
ETH Zurich

ICLR 2027sort:activity acceptance volume newest

[PDF]OUTPUT WITHOUT WARRANT: SPECTRAL DIMENSION READOUTS CANNOT CERTIFY THEIR OWN HYPOTHESES

[PDF]From Controlled Edits to Complex Bindings: Evaluating and Improving Structure-Aware Vision–Language Models

[PDF]TabMF: Learning Dataset Representations with Tabular Foundation Models

[PDF]Long-Tailed Entity Distributions Preserve World Model Plasticity

[PDF]IntentGuard: Securing GUI Agents without Sacrificing Benign User Intent

[PDF]AQUI: Asymmetric Query Embedding for Implicit Reasoning-aware Memory Retrieval

[PDF]Input Representations Meet Pretraining Objectives: A Controlled Study of Generative EHR Foundation Models

E mb o d i e d C L B e n c h

: Evaluating Continual Learning for Self-Evolving Embodied Agents

[PDF]VisFlow: Interpretable Flow Matching for Visibility Reconstruction, Characterization, and Recognition

[PDF]Embedded Neural Belief Propagation: More Dimensions, Better Beliefs

[PDF]Metadata-Aligned Decoding for Accuracy Gains

[PDF]DepthPruner: Visual Token Pruning with Pluggable Depth Guidance for Efficient Vision-Language-Action Inference

[PDF]QUOTA: Learning Downstream-Aware Context Allocation for Tool-Using Language Agents

[PDF]KiMChEE: Reaction Context from Co-Substrates and Environment Improves Kinetic Prediction for Uncharacterized Enzymes

[PDF]CoMemBench: Benchmarking Collaborative Memory Boundaries across Multi-Agent Workflow Topologies

[PDF]From Evaluation to Recovery: Value-Guided Vision-Language-Action Models

[PDF]CoSignature: Cross-Modality Watermarking with Verifiable Binding

[PDF]Which Geometry on Which Layer? Measured Sign–Spectral Assignmentin Mixed-Optimizer Training

[PDF]MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting

[PDF]The Simple Strategy-Iteration Method is Strongly Polynomial for the Turn-Based Deterministic Forward Game

[PDF]MultiLoc: Look Around As You Localize for Fast And Robust Visual Re-localization

[PDF]CM-PRM: Controlled-Margin Contrastive Learning for Process Reward Models

[PDF]Learning Shared Visual Exploration Primitives for Cross-Subject Mental Disorder Diagnosis from Eye Movements

[PDF]EchoGS: Compact 3D Gaussian Splatting via Conditional Response Credit

[PDF]A New Perspective on ANN-to-SNN Conversion: Hardware-Aligned Multi-Threshold Neuron Dynamics for Neuromorphic Inference

[PDF]One Rule for Every Scale: Recovering Fine Detail with Self-Similarity

[PDF]Don’t Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM Agents

[PDF]LunaTP: Enabling Efficient and Scalable Tensor Product for Equivariant MLIPs

[PDF]When Features Don't Move Alone: Relational Constraint Satisfaction for Counterfactual Explanations

[PDF]Beyond Context Length: Characterising the Difficulty of Long-Context Reasoning

[PDF]The Ceiling on Violation-Free Success Can Sit Below τ-bench's Resolution

[PDF]Severity Targets Can Reward Corrupted Labels: Diagnosing Sample Weights for Control

[PDF]WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting

[PDF]Breaking the Curse of Repulsion in Off-Policy Reinforcement Learning

[PDF]ReCCon: Mitigating LLM Hallucinations via Fine-Grained Cross-Chain Consistency

[PDF]From Evidence to Action: How Tool-Using Agents Fail

[PDF]Entity-Centric Exploration through Latent Dynamics for Visual Reinforcement Learning

[PDF]Parametric Session States Recover Retrieval Intent without Replaying History

[PDF]Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

[PDF]The Critic Is Only a Proxy: Regret Optimization for Reinforcement Learning

[PDF]Target Fidelity Is Not Numerical Fidelity Signed Bias-Discretization Alignment at Equal NFE

[PDF]What a Relative Improvement Measures: Reference Values for Latent-Regime Reinforcement Learning

[PDF]CHRONOPROTO: WHAT A SINGLE POSITIVE EPISODE CAN AND CANNOT PERSONALIZE

[PDF]RELATIONAL STRUCTURE RECOVERY FOR STRICT SCORE-ONLY VLM ADAPTATION

[PDF]XFlow: A Workflow Model for Instruction-Guided Lesion Segmentation in Chest X-rays

[PDF]Attention Mean Fields Predict Average Representation Dynamics and Illuminate Early Training

[PDF]Test-time reasoning with computational evidence for spatial question answering

[PDF]Calibrate Before You Learn: Coverage-Aware Rewards for Offline RL

[PDF]PRESTO: Prioritized Reasoning for Safe Trajectory Optimization with Foundation Models

[PDF]TESA-REC: EVIDENCE–AUTHORITY SEPARATION FOR SEMANTIC SEQUENTIAL RECOMMENDATION

¹ If this project is interesting to you, reach out at [email protected].